Multitime Dynamics of Living Organization: From State Change to Heritable Evolutionary Change

This record contains two complete author versions of the same work: the primary English preprint (Version 1.2 EN) and the Bulgarian-language version (Version 1.5 BG). Both language versions are deposited under the same DOI. Evolutionary change is embedded within the broader multitime dynamics of living organization. When the environment changes, a cell or organism first responds through its already available reaction architecture: it alters current electrical, ionic, mechanical, metabolic, behavioral, and developmental states. Some responses reset; others establish a functional mode, leave a persistent trace, or modify the parameters of a subsequent response. At the generational population level, the distribution of heritable reaction architectures may change. On this basis, we propose four multitime layers of biological change: (1) execution of the current state; (2) functional reconfiguration; (3) persistent modification of organization; and (4) heritable evolutionary change. L1–L3 are not presented as separate forms of population-genetic evolution. L4 is the layer in which heritable variation in reaction architecture changes its population distribution across generations. The central object is reaction architecture—the states, transition rules, thresholds, feedback loops, memory carriers, reset conditions, and resource constraints that connect environment, state, response, and outcome. We distinguish execution of the architecture from modification of the architecture and introduce a reaction vector for threshold, latency, amplitude, duration, specificity, cost, and recovery/reset characteristics. Fast-to-slow consolidation describes a possible, but not automatic, link between an experienced mode and an altered future response. The framework is applied to plants, Lacrymaria olor, cnidarians, C. elegans, zebrafish, Polypterus, and amphibians and is linked to causal tests and falsification rules.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-25
DOI
https://doi.org/10.5281/zenodo.21569404
Primary Topic
Evolution and Genetic Dynamics
Type
preprint
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preprint

Multitime Dynamics of Living Organization: From State Change to Heritable Evolutionary Change

ALEXANDAR BALEVSKY, KRASIMIRA IVANOVA
Zenodo (CERN European Organization for Nuclear Research)
Evolution and Genetic Dynamics
preprint

Multitime Dynamics of Living Organization: From State Change to Heritable Evolutionary Change

ALEXANDAR BALEVSKY, KRASIMIRA IVANOVA
preprint en

Abstract

This record contains two complete author versions of the same work: the primary English preprint (Version 1.2 EN) and the Bulgarian-language version (Version 1.5 BG). Both language versions are deposited under the same DOI. Evolutionary change is embedded within the broader multitime dynamics of living organization. When the environment changes, a cell or organism first responds through its already available reaction architecture: it alters current electrical, ionic, mechanical, metabolic, behavioral, and developmental states. Some responses reset; others establish a functional mode, leave a persistent trace, or modify the parameters of a subsequent response. At the generational population level, the distribution of heritable reaction architectures may change. On this basis, we propose four multitime layers of biological change: (1) execution of the current state; (2) functional reconfiguration; (3) persistent modification of organization; and (4) heritable evolutionary change. L1–L3 are not presented as separate forms of population-genetic evolution. L4 is the layer in which heritable variation in reaction architecture changes its population distribution across generations. The central object is reaction architecture—the states, transition rules, thresholds, feedback loops, memory carriers, reset conditions, and resource constraints that connect environment, state, response, and outcome. We distinguish execution of the architecture from modification of the architecture and introduce a reaction vector for threshold, latency, amplitude, duration, specificity, cost, and recovery/reset characteristics. Fast-to-slow consolidation describes a possible, but not automatic, link between an experienced mode and an altered future response. The framework is applied to plants, Lacrymaria olor, cnidarians, C. elegans, zebrafish, Polypterus, and amphibians and is linked to causal tests and falsification rules.

Zenodo (CERN European Organization for Nuclear Research)
DigitalSpace (United States) (US)
Evolution and Genetic Dynamics
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